权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Performance-Based Wind Engineering: Stochastic Approximation Algorithms for Wind-Induced Dynamics of Next-Generation Tall Buildings and Tower Structures

基于性能的风工程：下一代高层建筑和塔式结构风致动力学的随机近似算法

基本信息

批准号：
1852678
负责人：
Luca Caracoglia
金额：
$ 25.78万
依托单位：
Northeastern University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-05-01 至 2024-04-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1852678&HistoricalAwards=false
关键词：
Performance Based Wind Engineering Stochastic

项目摘要

The progressive increment of structural complexity and sensitivity to wind-induced vibration and damage in building structures leads to the need for more accurate and more efficient methods for structural analysis and estimation of structural response. Performance-based wind engineering (PBWE) has received considerable attention in recent years, especially for the study of building structures. PBWE is necessary to advance the analysis of the next-generation, super-tall buildings and tower structures, in which a core lateral resisting system is combined with a three-dimensional system of lateral bracings through stay-cables. The three-dimensional arrangement of the stays, which may reach unprecedented lengths, makes this type of structure particularly complex. One of the technological challenges is the need for forming a cable network by connecting the stays using transverse restrainers that can reduce sensitivity to wind-induced vibration. This unique structural configuration is particularly interesting for future building construction, but the wind-induced dynamics of this configuration is not fully understood. Understanding the performance of tall structures in the setting of PBWE can lead to better structural configurations for a given set of loading conditions, consistent with desired levels of safety and affordable cost, thus promoting national welfare and prosperity. Research results will be incorporated into teaching modules at Northeastern University for an existing graduate course in wind engineering and a new special topics course on the computational mechanics of random structural systems. Project data will be archived and made publicly available in the NSF-supported Natural Hazards Engineering Research Infrastructure (NHERI) Data Depot (https://www.DesignSafe-ci.org). This project will examine the dynamic response of tall buildings and tall towers under the effect of turbulent wind loads within the setting of PBWE. A benchmark building structure with appropriate parametric modifications of configuration will be considered. The research will explore the implementation of computationally efficient, scalable algorithms for studying the aeroelasticity of tall structures. The numerical procedures will also use state-of-the-art software for grid and cloud computing through collaboration with experts from international academic institutions and a software research company. Stochastic numerical solvers will be employed to extract natural frequencies and principal vibration modes from an initial random eigenvalue problem (with partially unknown or random properties due to structural complexity), and subsequently evaluate the wind-induced dynamic response in the frequency domain. The project will examine the structural performance under the influence of estimation errors in the aerodynamic loads and the derivation of structural fragility curves or surfaces, needed for estimation of either structural failure or loss of functionality within PBWE. Research outcomes will include the identification of key parameters characterizing safe structural operations by efficient computation of fragility (e.g., displacements and accelerations). Parametric studies will also unfold relevant details on the wind-induced dynamics of tall buildings and towers, which will assist engineers in the design of these systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

建筑结构的复杂性和对风致振动和破坏的敏感性的不断增加，导致需要更准确和更有效的方法来进行结构分析和结构响应的估计。基于性能的风工程（PBWE）近年来受到了相当大的关注，特别是在建筑结构的研究。PBWE是必要的，以推进分析的下一代，超高层建筑和塔楼结构，其中核心抗侧力体系与三维系统的横向支撑通过斜拉索相结合。拉索的三维布置可能达到前所未有的长度，使得这种类型的结构特别复杂。技术挑战之一是需要通过使用横向限制器连接拉索来形成缆索网络，该横向限制器可以降低对风致振动的敏感性。这种独特的结构配置是特别有趣的未来的建筑施工，但这种配置的风致动力学还没有完全了解。了解PBWE设置中高层结构的性能，可以导致更好的结构配置为一组给定的负载条件，符合所需的安全水平和可承受的成本，从而促进国家福利和繁荣。研究成果将纳入东北大学现有的风力工程研究生课程和随机结构系统计算力学新专题课程的教学模块。项目数据将在NSF支持的自然灾害工程研究基础设施（NHERI）数据库（https：//www.example.com）中存档并公开提供。www.DesignSafe-ci.org本计画将探讨在PBWE环境下，高层建筑物及高塔在紊流风荷载作用下的动力反应。将考虑对基准建筑结构进行适当的配置参数修改。本研究将探讨如何实现计算效率高、可扩展的算法来研究高层结构的气动弹性。数值程序还将通过与国际学术机构和软件研究公司的专家合作，使用最先进的网格和云计算软件。随机数值求解器将用于从初始随机特征值问题（由于结构复杂性，具有部分未知或随机特性）中提取固有频率和主振型，随后在频域中评估风致动力响应。该项目将检查在气动载荷估计误差的影响下的结构性能，以及结构脆弱性曲线或表面的推导，这些都是PBWE内结构失效或功能丧失估计所需的。研究成果将包括通过有效计算脆弱性（例如，位移和加速度）。参数研究还将揭示高层建筑和塔楼风致动力学的相关细节，这将有助于工程师设计这些系统。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。